Logistic Regression with R Logistic regression is one of the most fundamental algorithms from statistics, commonly used in machine learning. It’s not used to produce SOTA models but can serve as an excellent baseline for binary classification problems. Interested in machine learning for beginners? Check our detailed guide on ...

Introduction Around four years ago I was given a copy of Time Magazine’s specialty issue on Coffee together with a French press as a gift. At the time, I was satisfied with a regular instant cup of joe and did not know much about the vastness and culture of ...

Introduction Here is a quick data-scientist / data-analyst question: what is the overall trend or shape in the following noisy data? For our specific example: How do we relate value as a noisy function (or relation) of m? This example arose in producing our tutorial “The Nature of Overfitting”. One […]

Introduction Here is a quick data-scientist / data-analyst question: what is the overall trend or shape in the following noisy data? For our specific example: How do we relate value as a noisy function (or relation) of m? This example arose in producing our tutorial “The Nature of Overfitting”. One […]

This is the first article in our series "Lost in Translation between R and Python". We start it by illustrating the famous Central Limit Theorem.

Yes. Playing with numbers is another call for useless R function. This time, we will be using a function that will find the simplest mathematical expression for a whole number from 0 to 9 (or even higher), using only:– common…Read more ›

???? ???? ???? Sign Up For More Blog Articles ???? ???? ???? Introduction In this article, we'll use the EPA Arcgis map that contains weather data going back to 1990. This will be a quick code-based blog post showing how to load, explore and visualize the data a local EPA monitor.

# Libraries
packages <- 
  c("data.table",
    "ggplot2",
    "stringr",
    "skimr",
    "janitor",
    "glue"
    )

if (length(setdiff(packages,rownames(installed.packages()))) > 0) {
  install.packages(setdiff(packages, rownames(installed.packages())))  
}

invisible(lapply(packages, library, character.only = TRUE))

knitr::opts_chunk$set(
  comment = NA,
  fig.width = 12,
  fig.height = 8,
  out.width = '100%',
  cache = TRUE
)

Weather Monitor Data Extraction Below, ...

Our community is our best asset. It’s so important to us, it’s in our mission statement. We recognize that communities are not inclusive by default; they require deliberate attention, including an enforceable Code of Conduct. rOpenSci is committed to ...

TL;DR Using Pythagorean expectation we should expect the Baltimore Ravens to be Super Bowl Champions Using a Bradley-Terry model we should expect the Kansas City Chiefs to be Super Bowl champions Seems like it will be a good year for the AFC It’s Playoff Time in the NFL!. ...

Isovists are polygons of visible areas from a point. They remove views that are blocked by objects, typically buildings. They can be used to understanding the existing impact of, or where to place urban design features that can change people’s behaviour (e.g. advertising boards, security cameras or trees). ...

The Question I am a sucker for IMDb ratings so don't judge me. They are my priors before watching almost anything on a screen (home screen that is). But between movies (feature films), TV movies and TV (mini) series IMDb ratings are highly inconsistent...

The Question I am a sucker for IMDb ratings so don't judge me. They are my priors before watching almost anything on a screen (home screen that is). But between movies (feature films), TV movies and TV (mini) series IMDb ratings are highly inconsistent...